Engineering Proceedings

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2 pages, 164 KiB

Open AccessEditorial

Statement of Peer Review

by Luis Olivera-Montenegro

Eng. Proc. 2023, 42(1), 1; https://doi.org/10.3390/engproc2023042001 - 27 Jul 2023

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Abstract

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

5 pages, 320 KiB

Open AccessEditorial

Preface: The Second International Congress on Technology and Innovation in Engineering and Computing

by Luis Olivera-Montenegro

Eng. Proc. 2023, 42(1), 2; https://doi.org/10.3390/engproc2023042002 - 27 Jul 2023

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Abstract

Due to the context in which we find ourselves, today more than ever we must think globally about the growth and development of our society [...] Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

Other

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5 pages, 229 KiB

Open AccessProceeding Paper

A Survey of Video Analysis Based on Facial Expression Recognition

by Paul Díaz, Elvinn Vásquez and Pedro Shiguihara

Eng. Proc. 2023, 42(1), 3; https://doi.org/10.3390/engproc2023042003 - 1 Aug 2023

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Abstract

Verbal language has become the main way to communicate our ideas since the already established linguistic signs allow understanding between people. However, this is not the only way we have to communicate, since nonverbal language, especially facial expressions, usually convey a lot of [...] Read more.

Verbal language has become the main way to communicate our ideas since the already established linguistic signs allow understanding between people. However, this is not the only way we have to communicate, since nonverbal language, especially facial expressions, usually convey a lot of information. Currently, the use of Convolutional Neural Networks (CNN) has allowed us to identify these emotions more easily through facial expression recognition (FER), which has attracted much attention from various fields of research. In this work, we will provide detailed information about the currently most used dataset and methods for identifying emotions using facial expressions, such as VGG16, ResNet50 and Inception-V3, obtaining a better performance in ResNet-50. This survey shows that the main differences in precision in each architecture are due to the number of images in the datasets used for training and testing. Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

6 pages, 218 KiB

Open AccessProceeding Paper

A Survey of Blockchain for Video Integrity

by Jorge Ceron, Cristian Tinipuclla and Pedro Shiguihara

Eng. Proc. 2023, 42(1), 4; https://doi.org/10.3390/engproc2023042004 - 3 Aug 2023

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Abstract

Blockchain has become an important alternative in plenty of industries due to its features such as traceability, transparency and data integrity. Blockchain is not only present in the management of structured data-like names, timestamps, addresses and so on, but also in the management [...] Read more.

Blockchain has become an important alternative in plenty of industries due to its features such as traceability, transparency and data integrity. Blockchain is not only present in the management of structured data-like names, timestamps, addresses and so on, but also in the management of unstructured data such as videos or images. In the present work, we focus on videos because nowadays, they are potentially exposed to be modified or altered from plenty of sources and platforms. However, we found that there are hardly any surveys or systematic literature reviews containing applications of both blockchain and integrity of videos. Thus, in this survey, we state a literature review for primary articles about the use of blockchain for video integrity to update and provide a better comprehension about this topic. As results, we encountered Ethereum and internet of vehicles as the largest underlying blockchain and field of application, respectively. At the end, we explain our findings about blockchains for video integrity and why it is an emerging topic. Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

6 pages, 234 KiB

Open AccessProceeding Paper

A Survey of Deep Learning Techniques Based on Computed Tomography Images for Detection of Pneumonia

by Sharon Quispe, Ingrid Arellano and Pedro Shiguihara

Eng. Proc. 2023, 42(1), 5; https://doi.org/10.3390/engproc2023042005 - 10 Aug 2023

Viewed by 1295

Abstract

A cluster of cases caused by the virus SARS-CoV-2 was detected in Wuhan, China, in December 2019. The disease derived from that virus was named Coronavirus (COVID-19), which was officially recognized as a pandemic by the World Health Organization in March 2020. Since [...] Read more.

A cluster of cases caused by the virus SARS-CoV-2 was detected in Wuhan, China, in December 2019. The disease derived from that virus was named Coronavirus (COVID-19), which was officially recognized as a pandemic by the World Health Organization in March 2020. Since COVID-19 can cause serious pneumonia, early diagnosis is crucial for adequate treatment and for reducing health system overload. Therefore, deep learning algorithms to detect pneumonia have been developed using computed tomography (CT) scans, as they provide more detailed information about the disease because of their three-dimensionality and good visibility. This information analyzed by specialists could support the confirmation of pneumonia. To find out the accuracy levels of various classifiers, we evaluated the baseline models utilized by researchers. The findings we drew were that the majority of CT classification algorithms have strong accuracy values in comparison to other algorithms performed using CT, but have not reached above 98%. According to the systematic literature survey, low accuracy levels resulting from the performance of the models were attributed to the incongruous dealing of medical images. These images instead of having common formats such as png or jpg, use more complex formats such as DICOM and NIFTI, in order to save more information about the disease and the patient. Moreover, some studies found that the influence of environmental conditions and lung movement could affect the quality of the image. This unclear pneumonia area may also result in a decrease in the efficiency of deep-learning algorithms for detecting pneumonia. Therefore, the objective of this survey is to identify, gather data and build a catalog of deep-learning techniques for detecting pneumonia abnormalities and annotating CT images from the literature review, reflecting a better understanding of the classification of pneumonia using CT images. Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

8 pages, 1766 KiB

Open AccessProceeding Paper

Physicochemical and Rheological Characterization and Antioxidant Activity of the Juice of “Puro Puro” (Passiflora pinnatistipula)

by Javier S. Córdova-Ramos, Sandra Pihue, Alfonso Ruiz, Franklin Ore, Lizeth Aguirre and Luis Olivera-Montenegro

Eng. Proc. 2023, 42(1), 6; https://doi.org/10.3390/engproc2023042006 - 11 Aug 2023

Viewed by 914

Abstract

The genus Passiflora spp. stands out as an important source of bioactive compounds and health promoters; however, not all its species have been studied in depth, as in the case of Passiflora pinntistipula, or “puro puro”. In this sense, the main objective [...] Read more.

The genus Passiflora spp. stands out as an important source of bioactive compounds and health promoters; however, not all its species have been studied in depth, as in the case of Passiflora pinntistipula, or “puro puro”. In this sense, the main objective of this research is to study the antioxidant capacity, physicochemical properties and rheological behavior of “puro puro” juice from the Pamuri Community, Tayacaja Province, Huancavelica. The physicochemical characterization was carried out according to the official methods of international analysis (AOAC). The parameters evaluated were the percentage of humidity (66%), ashes (3%), fat (1.5%), proteins (4.5%), carbohydrates (25%), total energy (100%), pH (4.5), total acidity (1.3%), and soluble solids (18.5%). The color was determined on the CieLab scale and was L* (34.5), a* (1.2), b (4.4), C* (4.5) and h* (74.3). The antioxidant capacity was evaluated with the 2,2′-azino-bis (3-ethylbenziozoline-6)-sulfonic acid (ABTS) method, and the value obtained was 5.2 µmol-Equi. Trolox/g. The rheological parameters of the pure cigar juice were evaluated using a rotary viscometer at temperatures of 15, 20, 25, and 30 °C; and in concentrations of 18.5, 20, 25, 30, and 35 °Brix. The power law model fitted the experimental results and showed non-Newtonian flow behavior. The value of the flow behavior index (n) was less than unity at all temperatures and concentrations, indicating the pseudoplastic nature of the juice. The Arrhenius model was able to relate apparent viscosity to temperature. The consistency index (k) varied in the range between 0.42 and 1.38 Pa sⁿ, and flow behavior index (n) was in the range between 0.26 and 0.55. Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

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4 pages, 593 KiB

Open AccessProceeding Paper

Analysis of the Types of Argentine Geospatial Public Open Data

by Roxana Martínez and Agustín Simón

Eng. Proc. 2023, 42(1), 7; https://doi.org/10.3390/engproc2023042007 - 15 Aug 2023

Viewed by 659

Abstract

Massive data, public and in open formats, are essential to improving citizens’ confidence in their countries. Open data generate value, as long as they can be standardized in terms of data quality, accessibility, and publication through user-friendly formats. This work consists of an [...] Read more.

Massive data, public and in open formats, are essential to improving citizens’ confidence in their countries. Open data generate value, as long as they can be standardized in terms of data quality, accessibility, and publication through user-friendly formats. This work consists of an analysis and study of the different types of open geospatial data that are available in the government website portals of the Argentine Republic. This analysis allowed us to garner the status of different geospatial datasets, understand the quality of their content, and detect the shortcomings of these types of datasets. Full article

(This article belongs to the Proceedings of II International Congress on the Technology and Innovation in Engineering and Computing)

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